Applied Machine Learning and Deep Learning with R

Video Description

Learn to build powerful machine learning and deep learning applications with help of the R programming language and its various packages

About This Video

Real world, practical content that gets you up and running to take on the challenges faced by an everyday data scientist

Leverage the power of R programming language and its packages for powerful data science application development

Machine learning and deep learning made simple, one step at a time!

In Detail

In this course, we will examine in detail the R software, which is the most popular statistical programming language of recent years.

You will start with exploring different learning methods, clustering, classification, model evaluation methods and performance metrics. From there, you will dive into the general structure of the clustering algorithms and develop applications in the R environment by using clustering and classification algorithms for real-life problems Next, you will learn to use general definitions about artificial neural networks, and the concept of deep learning will be introduced. The elements of deep learning neural networks, types of deep learning networks, frameworks used for deep learning applications will be addressed and applications will be done with R TensorFlow package. Finally, you will dive into developing machine learning applications with SparkR, and learn to make distributed jobs on SparkR.